Neighborhood predictors of suicide and firearm suicide in Detroit, Michigan

Our findings suggest place-based factors at the tract level do not provide meaningful insight into the risk of suicide or firearm suicide among youth or the general population in Detroit, Michigan. Future practice and study should consider focusing on both larger and smaller areas, including city and individual-level factors. For example, studies might benefit from the use of both neighborhood and individual-level measures and their interactions to improve our understanding of place-based risk factors and suicide risk.

Authors

Institutions

Publication Details

Journal
Injury Epidemiology
Published
2024-09-27
DOI
https://doi.org/10.1186/s40621-024-00530-4
Citations
2
Primary Topic
Health disparities and outcomes
Type
article
Field-Weighted Citation Impact
1.06

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Neighborhood predictors of suicide and firearm suicide in Detroit, Michigan

Rose M. C. Kagawa, Colette Smirniotis, Veronica A. Pear
2 citations
Injury Epidemiology
Health disparities and outcomes
1.06
article

Neighborhood predictors of suicide and firearm suicide in Detroit, Michigan

Rose M. C. Kagawa, Colette Smirniotis, Veronica A. Pear
article en
2 citations

Abstract

Our findings suggest place-based factors at the tract level do not provide meaningful insight into the risk of suicide or firearm suicide among youth or the general population in Detroit, Michigan. Future practice and study should consider focusing on both larger and smaller areas, including city and individual-level factors. For example, studies might benefit from the use of both neighborhood and individual-level measures and their interactions to improve our understanding of place-based risk factors and suicide risk.

Injury EpidemiologyVol. 11(1)
California Department of Transportation (US), University of California, Davis (US)
Centers for Disease Control and Prevention, California Firearm Violence Research Center, UC Davis Health
Sustainable cities and communities
Openalex Percentile: Top 21%
Health disparities and outcomes
1.06
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.